{"id":"W2793648986","doi":"10.1017/s0022029917000838","title":"Separation of bovine κ-casein glycomacropeptide from sweet whey protein products with undetectable level of phenylalanine by protein precipitation followed by anion exchange chromatography","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Research","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Phenylalanine; Casein; Chromatography; Whey protein; Ion chromatography; Amino acid; Protein precipitation; Aromatic amino acids; Precipitation; Ion exchange; Biochemistry; Mass spectrometry; Ion; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001440725,0.0001908874,0.0003637069,0.0002123509,0.0001081279,0.00003711091,0.0003326502,0.000150996,0.00005401665],"category_scores_gemma":[0.0003000166,0.0001432463,0.0001045161,0.00055054,0.0002886713,0.00005239403,0.0001087977,0.000242087,0.00000214036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004088888,"about_ca_system_score_gemma":0.0002523173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003953952,"about_ca_topic_score_gemma":0.0001919767,"domain_scores_codex":[0.9974534,0.0004447438,0.0005879286,0.0003444105,0.0008486918,0.0003208104],"domain_scores_gemma":[0.9970706,0.00002245368,0.0006843231,0.0003670145,0.001748014,0.0001076441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003303722,0.0003880507,0.001287171,0.0001212019,0.0002029103,0.000002959565,0.0001188288,0.000001648663,0.9825689,0.000002942027,0.01078236,0.001219354],"study_design_scores_gemma":[0.001509822,0.008523469,0.001373635,0.0002621468,0.00002692691,0.000009504325,0.0001294098,0.00003183559,0.9840341,0.00006476729,0.003880467,0.000153885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944725,0.001774564,0.002093235,0.000279727,0.00002413443,0.0009562914,0.000251301,0.000003981246,0.0001442585],"genre_scores_gemma":[0.9942274,0.00008336931,0.004304724,0.000007877497,0.0002999159,0.00005348211,0.0001781845,0.00002970531,0.0008153194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008135418,"threshold_uncertainty_score":0.5841413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529850468713176,"score_gpt":0.3336881771708683,"score_spread":0.2807031302995507,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}